Evidence map›Paper›PMID 38556542›Full record

ArticleScientific reports2024

A signature based on circadian rhythm-associated genes for the evaluation of prognosis and the tumour microenvironment in HNSCC.

Changqian Wang, Xiang Liu, Pengkhun Nov, Lilin Li, Chunhui Li, Xuejiao Liao, Luyao Li, Kunpeng Du, Jiqiang Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Changqian Wang *Department of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, Guangdong Province, China.
Xiang Liu *Department of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, Guangdong Province, China.
Pengkhun NovDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, Guangdong Province, China.
Lilin LiDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, Guangdong Province, China.
Chunhui LiDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, Guangdong Province, China.
Xuejiao LiaoDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, Guangdong Province, China.
Luyao LiDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, Guangdong Province, China.
Kunpeng DuDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, Guangdong Province, China. dukunpeng@gzhmu.edu.cn.
Jiqiang LiDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, 510282, Guangdong Province, China. ljq821028@126.com.
Southern Medical University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The morbidity and mortality rates of head and neck squamous cell carcinoma (HNSCC) remain high worldwide. Therefore, there is an urgent need to identify a new prognostic biomarker to guide the personalized treatment of HNSCC patients. Increasing evidence suggests that circadian rhythm genes play an important role in the development and progression of cancer. We aimed to explore the value of circadian rhythm genes in predicting prognosis and guiding the treatment of HNSCC. We first obtained a list of circadian rhythm genes from previous research. The sequencing data were retrieved from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Finally, univariate Cox proportional hazard analysis, least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox proportional hazard analysis were performed to develop a prognostic signature (Circadian Rhythm-Related Gene Prognostic Index, CRRGPI) consisting of nine circadian rhythm genes. The signature exhibited good performance in predicting overall survival. Patients with low CRRGPI scores had lower metabolic activities and an active antitumour immunity ability. Additionally, a clinical cohort was used to further evaluate the ability of the CRRGPI to predict the efficacy of immune checkpoint inhibitors. In conclusion, the novel circadian rhythm-related gene signature can provide a precise prognostic evaluation with the potential capacity to guide individualized treatment regimens for HNSCC patients.

Indexed as

Head and Neck NeoplasmsTumor MicroenvironmentCircadian RhythmHumansPrognosisSquamous Cell Carcinoma of Head and NeckCircadian rhythmHNSCCImmunityMetabolismTumour microenvironment

Identifiers

PMID38556542
PMCPMC10982303
OpenAlexW4393355433

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.